activity
20132023
most citedThe Inapproximability of Maximum Single-Sink Unsplittable, Priority and Confluent Flow Problems

11 citations · 20 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DS2023

Diversity Embeddings and the Hypergraph Sparsest Cut

Adam D. Jozefiak, F. Bruce Shepherd

Good approximations have been attained for the sparsest cut problem by rounding solutions to convex relaxations via low-distortion metric embeddings. Recently, Bryant and Tupper sh…

cs.DS2022

A Knapsack Intersection Hierarchy Applied to All-or-Nothing Flow in Trees

Adam Jozefiak, F. Bruce Shepherd, Noah Weninger

We introduce a natural knapsack intersection hierarchy for strengthening linear programming relaxations of packing integer programs, i.e., where…

cs.DS2020

A Parameterized Family of Meta-Submodular Functions

Mehrdad Ghadiri, Richard Santiago, Bruce Shepherd

Submodular function maximization has found a wealth of new applications in machine learning models during the past years. The related supermodular maximization models (submodular m…

cs.DM2018

When Do Gomory-Hu Subtrees Exist?

Guyslain Naves, F. Bruce Shepherd

Gomory-Hu (GH) Trees are a classical sparsification technique for graph connectivity. It is one of the fundamental models in combinatorial optimization which also continually finds…

cs.DS2018★ 2 cited

Multi-Agent Submodular Optimization

Richard Santiago, F. Bruce Shepherd

Recent years have seen many algorithmic advances in the area of submodular optimization: (SO) , where is a given family of feasible…

cs.DS2016★ 5 cited

Multivariate Submodular Optimization

Richard Santiago, F. Bruce Shepherd

Submodular functions have found a wealth of new applications in data science and machine learning models in recent years. This has been coupled with many algorithmic advances in th…

cs.DS2015★ 11 cited

The Inapproximability of Maximum Single-Sink Unsplittable, Priority and Confluent Flow Problems

F. Bruce Shepherd, Adrian Vetta

We consider single-sink network flow problems. An instance consists of a capacitated graph (directed or undirected), a sink node and a set of demands that we want to send to th…

cs.CC2013★ 1 cited

Dynamic vs Oblivious Routing in Network Design

Navin Goyal, Neil Olver, F. Bruce Shepherd

Consider the robust network design problem of finding a minimum cost network with enough capacity to route all traffic demand matrices in a given polytope. We investigate the impac…

cs.NI2013★ 1 cited

Shortest Path versus Multi-Hub Routing in Networks with Uncertain Demand

Alexandre Fréchette, F. Bruce Shepherd, Marina K. Thottan +1

We study a class of robust network design problems motivated by the need to scale core networks to meet increasingly dynamic capacity demands. Past work has focused on designing th…